Earlier quoted context omitted.
There's a normative argument in the parent that's reasonable to engage and rebut, but there's also a positive component that's less easy to take issue with. It really isn't going anywhere, no matter what world you want to live in. People were upset about databases in the 1980s (some still are).
What makes you say that AI is not going anywhere? I hear this overwhelmingly, "AI is here to stay", as if y'all are so caught up in the movement that you've started taking that conclusion as being the axiom. TBH, it feels like a religion.
But I hear everyday, non-IT-sector people talking constantly about how they're using it, and that means there's a demand for it, and someone is going to supply it. I think a lot of anti-AI people think it's still equivalent to the PDA, and don't realize it's a smartphone already.
The other side is that "AI" is of course very very broad and isn't new, and e.g. medical vision models are making advancements that are having huge impacts on patient care already, especially around early cancer detection. Those aren't going away (and shouldn't), so there's still going to be a demand for the underlying technology and infrastructure to support it, even if LLMs stop being spammed everywhere.
The other thing which people seem not to understand is that you don't need a whole datacenter to RUN individual LLMs, you need it to train them, or to run them at scale for thousands of customers. A lot of the upper-mid-tier models that exist now can be run on a single (beefy) 4U server in your closet if you've got the GPUs to put in it. And people are running e.g. Deepseek V4 Pro FP4 locally. If you've got an actual server room, like at a university, you can run the full, un-quantized versions with ~2-4 servers.
Technology that is living in peoples' homes and businesses already is not going to just disappear. It's a lot less centralized than the market prevalence of OpenAI and Anthropic would lead you to believe.